… towards predicting freeway crashes in Advanced Traffic … a crash-likelihood prediction model
using real-time traffic-flow … at weather stations) potentially associated with crash occurrence. …

… -time crash prediction models that will potentially be employed within traffic management …
Methods: In this study, two highly optimized data-driven models for crash occurrence prediction …

… that traffic flow characteristics contributing to crash risk were … traffic flow characteristics on
crash risk under other weather … separate crash risk prediction models for different weather …

… to the high volume of traffic increasing the possibility of … the traffic rules due to severe penalties
associated with the offenses made by the drivers, resulting in a lower possibility of crashes…

… three models were developed to analyze crash injury severity: (1… traffic and weather variables
have substantial influences on crash injury severity, which could be utilized to predict crash …

… crash and the variables of traffic, weather, and geometrics while distinguishing different crash
… SV crash prediction model and a real-time MV crash prediction model. Both SV and MV …

… traffic safety applications in conjunction with the existing ITS and ATM systems, this paper
focuses on analyzing crash patterns with the real-time traffic and weather … for crash prediction. …

… weather events, which are likely to be exacerbated by climate change throughout the world.
Traffic … Traffic accident data for Fairfax County, Virginia, are supplemented with Doppler …

… geometry data, vehicle speed data, and weather data. We treat the … crash prediction is
one of the important research directions. This paper aims at predicting whether there is a traffic …

… of traffic segregation and due to the possibly high percentage of motorcycles and mopeds in
traffic. … (SANTRA), real-time traffic and weather parameters are also considered in this study. …